Theoriq is thrilled to announce a strategic partnership with Phala Network, a leading TEE-based Coprocessor for AI. Phala enables AI to interact seamlessly with blockchains, allowing developers to build, launch, and monetize AI agents with robust security.

Navigating Web3 can be complex, often requiring multiple wallets and dApps for simple tasks. AI can simplify this by automating operations and enhancing the user experience. However, web2 AI agents face limitations—they are not smart contract-centric, preventing them from executing on blockchain operations securely.

Phala’s cutting-edge Trusted Execution Environment (TEE) compute capabilities addresses this gap, offering a secure environment for building confidential and verifiable AI agents integrated with on-chain smart contracts. Phala Network is transforming decentralized AI agents by revolutionizing AI Agents’ control and governance, ensuring operation within a decentralized hybrid cloud leveraging TEE and blockchain. This architecture eliminates central authority control, leading to more resilient, transparent AI aligned with user interests. It integrates tokenomics, governance, and incentivization within the ecosystem using cryptocurrencies.

Theoriq’s decentralized protocol has been developed to support the combination of specialized high-performance AI Agents into optimized Agent Collectives that are dynamic, interoperable, and secure. This approach complements the problem Phala is solving in Web3, and by partnering with industry leaders, we are ensuring that the decentralized development of AI advances both teams' missions of making AI and Web3 smarter, more equitable, and more efficient for its users.

Theoriq will require heightened data privacy capabilities as it rolls into its testnet, mainent, and node events towards the end of this year. By leveraging Phala’s TEE network, we can enhance the protocol's security and trust, implementing industry-leading protection and reliability for our AI and ML operations.

A TEE (Trusted Execution Environment) is a secure enclave within a device's main processor, designed to isolate and protect data from external processes, even those with elevated privileges. This isolation creates a trust-minimized environment, significantly boosting security against potential threats. This feature could eventually be integrated into Theoriq’s no-code builders, expanding an extra layer of security to many use cases in the industry.

Additionally, the partnership will involve collaboration between each company's research and development teams to explore joint projects focused on enabling AI Agents to function seamlessly in Web3 environments.

The collaboration between Theoriq and Phala is built on a strong foundation of complementary technologies and shared visions. By partnering with leaders in the AI and Web3 segment, each team will enhance their ecosystems and ensure their tech stacks have access to secure, private, and efficient AI agent deployments.

About Phala

Phala is a pioneer in confidential computing and secure data processing. They specialize in leveraging trusted execution environments (TEEs) and secure enclaves to enable secure and verifiable computations. Their expertise in confidential computing makes them a valuable partner in advancing the field of verifiable AI computing.

About Theoriq

Theoriq is the first decentralized protocol for governing and building multi-agent systems by integrating AI with blockchain technology. The platform is centered around an agnostic modular base layer that powers an ecosystem of dynamic AI Agent collectives that are interoperable, composable and decentralized.

Theoriq has raised over $10.4M from leading investors such as Hack VC, Foresight Ventures, Inception Capital, HTX Ventures and more, and have active partnerships with leading web3 and web2 projects including Google Cloud and NVIDIA.

With Theoriq, you're not just part of a network; you're part of a movement that's empowering communities, developers, researchers, and AI enthusiasts to reshape the future of intelligent autonomous systems.

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